A novel approach for automatic region of interest extraction in industrial radiographic images
by Mythili Thirugnanam; S. Margret Anouncia
International Journal of Computational Vision and Robotics (IJCVR), Vol. 4, No. 3, 2014

Abstract: The increase in dearth of image analysis and interpretation in the field of remote sensing, communication, medical imaging, forensics and industrial inspection demands for a complete automated image processing system. Especially, automating the process of region of interest extraction is a great challenge as it depends completely on the domain information. Many of the researchers had attempted to automate the process of image interpretation and classification only. In particular, automating ROI extraction process in greyscale images containing weld defects had demonstrated great difficulty towards the accuracy. This paper attempted to address the issue of complete automation of greyscale image ROI extraction for further image analysis and classification. The attempt also outlines the necessity of segregating background and foreground images in industrial radiographs through a new intensity-based filtering method. A study is made to determine an appropriate segmentation method for different defect detection. In order to evaluate the designed methodology, industrial radiographs containing defects of welding process are considered.

Online publication date: Thu, 24-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com